Dynamique des Fluides (DynFluid): Soumissions récentes
Voici les éléments 8-14 de 295
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Article dans une revue avec comité de lecture(Cambridge University Press (CUP), 2023-08)This work aims at studying the mechanisms behind the occurrence of extreme dissipation events in a channel flow, identifying nonlinear optimal perturbations as potential precursors of these events. Nonlinear optimal ...
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Communication avec acte(Euroturbo (European Turbomachinery Society), 2023-04)This study focuses on enhancing the performance of turbomachines through the design of multi rotor configurations. Specifically, the effect of the distance between an axial inducer and a centrifugal impeller, which rotates ...
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Article dans une revue avec comité de lecture(Elsevier BV, 2022-07)Wakes of upswept afterbodies are often characterized by counter-rotating streamwise vortex pairs which meander in space. One application concerns aft regions of cargo aircraft, which are characterized by a relatively flat ...
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Article dans une revue avec comité de lecture(Cambridge University Press (CUP), 2022-05)In this work, nonlinear variational optimization is used for obtaining minimal seeds for the formation of turbulent bands in channel flow. Using nonlinear optimization together with energy bisection, we have found that the ...
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Article dans une revue avec comité de lecture(MDPI AG, 2020-12)Variational optimization has been recently applied to nonlinear systems with many degrees of freedom such as shear flows undergoing transition to turbulence. This technique has unveiled powerful energy growth mechanisms ...
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Article dans une revue avec comité de lecture(Cambridge University Press (CUP), 2020-08)Superhydrophobic surfaces dramatically reduce the skin friction of overlying liquid flows, providing a lubricating layer of gas bubbles trapped within their surface nano-sculptures. Under wetting-stable conditions, different ...
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Sparse Bayesian Learning of Explicit Algebraic Reynolds-Stress models for turbulent separated flows Article dans une revue avec comité de lecture(Elsevier BV, 2022-12)A novel Sparse Bayesian Learning (SBL) framework is introduced for generating parsimonious stochastic algebraic stress closures for the Reynolds-Averaged Navier–Stokes (RANS) equations from high-fidelity data. The models ...